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Found 5 papers, 0 papers with code
Advancements in Continuous Glucose Monitoring: Integrating Deep Learning and ECG Signal
This paper presents a novel approach to noninvasive hyperglycemia monitoring utilizing electrocardiograms (ECG) from an extensive database comprising 1119 subjects.
Contactless Fingerprint Biometric Anti-Spoofing: An Unsupervised Deep Learning Approach
Limited research has been conducted on presentation attacks in contactless fingerprint systems, and these studies have encountered challenges in terms of generalization and scalability since both bonafide samples and presentation attacks are utilized during training model.
A Universal Anti-Spoofing Approach for Contactless Fingerprint Biometric Systems
Finally, we evaluate the performance of the model using unseen types of spoof attacks and live data.
When Physical Unclonable Function Meets Biometrics
Thus, a careful study on these attacks should be sufficient to address the need.
Deep RNN-Oriented Paradigm Shift through BOCANet: Broken Obfuscated Circuit Attack
This is the first work augmenting hardware attacks mounted on obfuscated circuits by incorporating deep recurrent neural network (D-RNN).
Cryptography and Security
